Quote · Dwarkesh Podcast
Alex Imas and Phil Trammell – What remains scarce after AGI?
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What should developing countries do?
At 1:10:15 · chapter starts 1:01:28
Policy recommendations for countries outside the AI supply chain. Primary advice: index into AGI returns via sovereign wealth funds rather than retraining programs. AI-as-electricity vs. AI-as-social-media distinction is key. [1] — Phil Trammell "The most robust strategy for developing countries facing AGI is to index into the returns — buy sovereign wealth exposure to the AI supply …" 1:02:20
The most robust strategy for developing countries facing AGI is to index into the returns — buy sovereign wealth exposure to the AI supply chain — rather than rely on retraining programs. If AGI diffuses like electricity, index ownership captures the gains. If it concentrates, retraining won't save you anyway.
If AGI diffuses like electricity, every company captures it and index ownership works. If it diffuses like social media, platform rents stay concentrated and ordinary people miss the gains. Which model prevails depends largely on whether open models stay competitive and whether frontier labs go public.
If AI distributes like electricity, downstream users capture most gains; if it distributes like social media, rents accrue to platforms. This distinction determines whether wealth becomes highly concentrated.
Mobile banking is more prevalent in Nigeria than in Germany, illustrating how developing countries can leapfrog stages of technological development with transformative technology.
If AGI becomes as fundamental as electricity, every major company will be built on it — making broad index ownership as effective a hedge as owning the economy itself.
Despite concern about privatization of AI returns, well under 20% of the total market cap of non-tiny U.S. companies is currently private, meaning indexing remains feasible.